Loss of ATG7 in Microglia Impairs UPR, Triggers Ferroptosis and Weakens Amyloid Pathology Control [scRNA-seq]
Single-cell RNA-seq · mouse · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 11 samples: 3 × Atg7-fl/fl vs 3 × Atg7-fl/fl; Cx3cr1-CreERT2 vs 3 × Atg7-fl/fl; Cx3cr1-CreERT2; 5xFAD vs 2 × Atg7-fl/fl; 5xFADGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Loss of ATG7 in microglia impairs UPR, triggers ferroptosis, and weakens amyloid pathology controlThe Journal of experimental medicine · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE286094_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1207905. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8717621 Atg7-fl/fl_bio_rep1 Atg7-fl/fl
- GSM8717622 Atg7-fl/fl_bio_rep2 Atg7-fl/fl
- GSM8717623 Atg7-fl/fl_bio_rep3 Atg7-fl/fl
- GSM8717624 Atg7-fl/fl; Cx3cr1-CreERT2_bio_rep1 Atg7-fl/fl; Cx3cr1-CreE…
- GSM8717625 Atg7-fl/fl; Cx3cr1-CreERT2_bio_rep2 Atg7-fl/fl; Cx3cr1-CreE…
- GSM8717626 Atg7-fl/fl; Cx3cr1-CreERT2_bio_rep3 Atg7-fl/fl; Cx3cr1-CreE…
- GSM8717627 Atg7-fl/fl; 5xFAD_bio_rep1 Atg7-fl/fl; 5xFAD
- GSM8717628 Atg7-fl/fl; 5xFAD_bio_rep2 Atg7-fl/fl; 5xFAD
- GSM8717629 Atg7-fl/fl; Cx3cr1-CreERT2; 5xFAD_bio_rep1 Atg7-fl/fl; Cx3cr1-CreE…
- GSM8717630 Atg7-fl/fl; Cx3cr1-CreERT2; 5xFAD_bio_rep2 Atg7-fl/fl; Cx3cr1-CreE…
- GSM8717631 Atg7-fl/fl; Cx3cr1-CreERT2; 5xFAD_bio_rep3 Atg7-fl/fl; Cx3cr1-CreE…
- GSE287320 Transcriptomic profiling of oligodendrocytes, astrocytes, and microglia in a cuprizone-induced demyelination model 14 samples shares upr, microglia
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares microglia, scrna-seq
- GSE278199 Microglia regulate cortical remyelination via ΤNFR1-dependent phenotypic polarization [scRNA-Seq] 45 samples shares microglia, scrna-seq
- GSE226938 Early amyloid-induced changes in microglia gene expression in APP/PS1 mice [scRNA-seq] 36 samples shares microglia, scrna-seq
- GSE261642 PLPP1-deficiency-mediated ferroptosis induced by PD-1 signaling impairs antitumor activity of intratumoral CD8+ T cells I 23 samples shares ferroptosis, impairs
- GSE248275 Adenosine triggers early astrocyte reactivity that provokes microglial reaction and drives the pathogenesis of sepsis-associated encephalopathy 18 samples shares microglia, triggers
- GSE290194 Repair-Associated Macrophages Increase after Early-phase Microglia Attenuation to Promote Ischemic Stroke Recovery [scRNA-Seq] 16 samples shares microglia, scrna-seq
- GSE296768 Plaque-induced transcriptional reprogramming of microglia towards lymphoid receptor expression protects against Alzheimer's disease [scRNA-seq] 12 samples shares microglia, scrna-seq
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.